B.Tech. in Artificial Intelligence and Machine Learning
- Private Institute
- Estd. 2008
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹3.86 Lakh |
Official Website | Go to Website |
Seat breakup | 120 |
Type of University | Private |
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Fees
Fee components | Amount (4 years) |
---|---|
Mentioned fee is for GM, 2A, 2B, 3A, 3B (1. Including SC/ ST Annual income above 10.00 Lakhs. 2. Including Category-1 Annual Income above 2.5 Lakhs. (In INR))
Tuition fee is calculated on the basis of Mentioned fee is for GM, 2A, 2B, 3A, 3B (1. Including SC/ ST Annual income above 10.00 Lakhs. 2. Including Category-1 Annual Income above 2.5 Lakhs. (In INR))
Tuition fee is calculated on the basis of 1st year/semester. Actual amount may vary.
The fees might include components other than tuition fees.
Mentioned fee is as per Karnataka Examination Authority, KCET. | ₹ 3.86 Lakh |
₹ 3.86 Lakh |
These are based on information available on various sources. Latest values may differ.
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Placements
Particulars | Statistics (2023) |
---|---|
Median Salary | INR 5.75 Lakh |
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Frequently Asked Questions
Q: Is Sai Vidya Institute of Technology good for MBA/PGDM?
Is Sai Vidya Institute of Technology (SVIT) good for MBA/PGDM?
Based on the reviews and feedback from students and alumni, here are some key points that summarize SVIT's strengths and weaknesses:
Strengths:
* 100% Placement Record: Most reviewers agree that SVIT has a excellent placement record, with many students getting placed in top companies such as Amazon, Flipkart, Accenture, Google, Infosys, and Wipro, among others.
* Supportive Faculty: Reviewers praise the faculty for being supportive, experienced, and knowledgeable, with many holding Ph.D.s.
* Good Infrastructure: SVIT's infrastructure, including classrooms, laboratories, library, and hostel facilities, are generally considered good.
* Practical Exposure: The institution emphasizes practical exposure, with industrial visits, internships, and projects that help students gain hands-on experience.
* Scholarship Opportunities: Some reviewers mention that scholarship opportunities are available.
Weaknesses:
* Limited Campus Life: Some reviewers mention that campus life could be improved, although this seems to vary depending on individual experiences.
* Difficulty in Passing Exams: A few reviewers mention that exams can be challenging, particularly those affiliated with VTU.
Overall, SVIT appears to be a good option for MBA/PGDM students, especially those looking for strong placement records and supportive faculties. However, potential students should weigh these positives against any negatives and consider factors like campus life and exam difficulty before making a decision.
References:
[Quotes and testimonials from students and alumni]
Q: Question: How is the course curriculum for MBA/PGDM at Sai Vidya Institute of Technology?
MBA/PGDM Course Curriculum at Sai Vidya Institute of Technology
Based on the reviews and feedback from students and alumni, here's an overview of the course curriculum:
* Dual Specializations: Finance, Marketing, Human Resource Management (HR), Core Finance, and other specializations are offered in the MBA program.
* Practical Orientation: The course is designed to provide hands-on experience and prepares students for the industry. It includes projects, case studies, and group discussions.
* Industry Exposure: Internships are mandatory in the 3rd and 4th semesters, providing students with real-world work experience.
* Corporate Knowledge: Faculty members bring industry expertise to the classroom, sharing practical examples and case studies to illustrate theoretical concepts.
* Regular Evaluations: Semester exams are conducted, and students receive regular assignments and assessments to track progress.
* Curriculum Activities: Extra-curricular activities such as group discussions, seminars, and presentations are an integral part of the curriculum, helping students develop essential soft skills.
Note: These key points are extracted from the student and alumni reviews and may vary depending on individual experiences.
Q: What is the effectiveness of the placement cell for B.E. / B.Tech programs at Sai Vidya Institute of Technology?
Effectiveness of Placement Cell
* According to students and alumni, the placement cell at Sai Vidya Institute of Technology is considered effective in placing students in various companies.
* About 40-60% of students from the batch get placed in major companies like Mphasis, Mindtree, Harman, Juspay, HP, and others.
* The placement team is motivated and helpful in getting students placed.
* Some students mentioned that around 90% of eligible students get placed in top MNCs like HP, TCS, and others.
* The highest salary package offered was up to 12 LPA, while the lowest was around 3 LPA.
* Companies like Bosch, Infosys, Mindtree, Wipro, Mphasis, TCS, and IBM visit the campus for placements.
* The placement cell provides training and coaching to students, helping them acquire skills needed to attend interviews.
* Some students praised the placement cell, saying that it provides excellent guidance and support to get students placed.
However, one student noted that the placement cell might not focus on core companies, leaving some students without placement opportunities.
Overall, the majority of reviews suggest that the placement cell at Sai Vidya Institute of Technology is effective in placing students in various companies, although there may be scope for improvement in terms of focusing on core companies.
Q: What is the intake for offered courses at Sai Vidya Institute of Technology?
Q: What is the median salary of placements by the Sai Vidya Institute of Technology?
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Entry Requirements
B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Cutoffs
KCET round-wise cutoff Rank: (General-All India)
Round | 2021 |
---|---|
1 | 31801 |
2 | 36772 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
Round | 2021 | 2022 |
---|---|---|
1 | 37631 | - |
2 | - | - |
3 | 34108 | 27455 |
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Q: Is Sai Vidya Institute of Technology a good college/Institute?
Q: How effective is the placement cell for MBA/PGDM courses at Sai Vidya Institute of Technology?
Effectiveness of Placement Cell for MBA/PGDM Courses at Sai Vidya Institute of Technology
Based on the reviews and feedback from students and alumni, the placement cell at Sai Vidya Institute of Technology (SVIT) seems to be quite effective for MBA/PGDM courses. Here are some key points:
* High placement rate: Almost 100% of students got placed in reputed companies, with many receiving packages ranging from INR3 Lacs to INR4.5 Lacs per annum.
* Placement training: The college provides regular placement training sessions from the first year onwards, helping students develop essential skills such as communication, teamwork, and problem-solving.
* Good infrastructure: The college has modern infrastructure, including Wi-Fi-enabled classrooms, state-of-the-art labs, and a well-stocked library, which supports academic growth and career development.
* Strong connections with industries: SVIT has strong relationships with leading companies, resulting in frequent visits from recruiters and multiple job offers.
* Internship opportunities: The college provides internship opportunities for students, allowing them to gain practical experience and build their professional portfolios.
Some notable companies that have recruited SVIT students include Accenture, TCS, Axis Bank, Amazon, Infosys, and IBM.
Overall, the placement cell at SVIT seems to be doing an excellent job in preparing students for their future careers and securing them lucrative job offers.
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B.Tech. in Artificial Intelligence and Machine Learning at Sai Vidya Institute of Technology Contact Information
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